Research answer
What AppTrendKit can say about MoshUp today
MoshUp has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodApp Store search
Keywords MoshUp ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| glitch | #2 | new | 68 | 57 |
Storefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.402
- Released
- Jan 15, 2020
- Last updated
- Apr 17, 2025
- Content rating
- —
- Default storefront
- CN
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
With Moshup you can do live datamoshing on your iPhone or iPad. Capture a short clip and then film something different. The first recording will stick to the second recording and will be transformed by its motion. You can create some interesting mapping effects. The app was mainly used on the viral TikTok datamoshing videos over the last two years. You can also repeat Frames in order or randomly. Save the result as image or video. While data moshing you can now fade back to a clean camera input. It's now also possible to watch a preview to decide if you want to save or continue with your video recording. Full Version Features: - import videos or pictures from your gallery - videos can be imported in reverse - step back if you want to repeat the last capture - loop back to the first frame - different mirror and color modes - sound can be recorded - reverse the final videos in the gallery - mix camera input with pictures, text and emojis Have fun datamoshing :) Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Store creative
Screenshots
No screenshots available.
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
YouTube
Google LLC
Instagram, Inc.
剪映 - 抖音官方AI创作神器
Shenzhen Lianmeng Technology Co.Ltd.
Snapchat
Snap, Inc.
快手极速版
Beijing Huayi Huilong Network Technology Co., Ltd.
Canva AI Photo & Video Editor
Canva Pty Ltd
InShot - Video Editor
SHANTANU PTE. LTD.
PicCollage: Magic Photo Editor
Cardinal Blue Software, Inc
How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 7, 2026, 11:49 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 7, 2026, 11:49 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology